The objective of performance testing is not to find bugs, but to eliminate performance-related bottlenecks that can impact the usability of a software product. This testing method involves assessing software applications to ensure they will perform well under real-world workloads in a live environment.
We are pioneer Automated Performance Testing Company in Chicago and our Performance Testing allows you to manage the performance and availability of your software applications. CPU Usage, Throughput, Response Times, Memory Leaks etc. are monitored and any performance bottlenecks identified are fixed. This leads to quick response times, improved computing processes and satisfied customers. Digital end user experience is one of the main goals when dealing with real user interactions and business transactions.
We use various open source and licensed tools to perform the load and stress testing of web applications, mobile applications and ERP Systems. Our partnership with Dynatrace allows us to help our customers real-time monitor performance of their applications
ImpactQA’s performance testing team provides detailed information regarding speed, stability, and scalability of your application suite. Performance Testing exposes aspects of software that need to be improved prior to a product going to market.
- Identifying performance acceptance criteria (Objectives, Research, and Methodology)
- Identifying your testing environment (Developing, Executing, and Understanding Results)
- Planning and designing performance tests (Plan Performance Test Data and Outline Metrics)
- Analyzing, tuning and re-testing (Hardware, Ideal Configurations, and Eradication of Bottlenecks)
Checks the application’s ability to perform under anticipated user loads. The objective is to identify performance bottlenecks before the software application goes live.
Tests a systems ability to handle large amounts of data. The objective is to check software application’s performance under dynamically fluctuating database volumes.
Tracks the software’s reaction to sudden large spikes in the load generated by users; it helps evaluate the risk of downtime and schedule maintenance tasks.
Tests an application under extreme workloads to see how it handles lots of data processing. The objective is to identify the breaking point of an enterprise application.
Tests a systems ability to manage more: loads, users, requests, computations, you name it. This approach helps to plan capacity additions to your software system.